Thrilled to announce that we just presented „MAGNet: Motif-Agnostic Generation of Molecules from Scaffolds“ at #ICLR2025 🧲
@pseudomanifold.topology.rocks @fabiantheis.bsky.social
For those who couldn’t make it to our spotlight: openreview.net/forum?id=5FX...
26.04.2025 05:37 — 👍 6 🔁 1 💬 0 📌 0
Chronic exposure to glucocorticoids amplifies inhibitory neuron cell fate during human neurodevelopment in organoids
Chronic exposure to glucocorticoids during brain development leads to priming of the inhibitory neuron lineages in organoids.
🚨🧠 New paper alert: Stress alters neuronal balance in the developing brain 🧠🚨
Our latest study in @science.orgAdvances explores how glucocorticoid exposure—a key environmental risk factor—shapes early human brain development using #organoids.
@mpi-psychiatry.bsky.social @drcricru.bsky.social
🧵👇
21.02.2025 10:14 — 👍 14 🔁 5 💬 2 📌 2
Super excited to share that the MatterGen code is now public on GitHub! github.com/microsoft/ma...
16.01.2025 10:26 — 👍 17 🔁 10 💬 0 📌 0
MatterGen now published in Nature 🔥 Very strong work from the materials team at MSR AI for Science!
16.01.2025 13:08 — 👍 10 🔁 4 💬 0 📌 0
Fantastic collab with @j_m_sommer, @sirine_ayadi1, @guennemann, and @fabiantheis.bsky.social
13.12.2024 17:52 — 👍 1 🔁 0 💬 0 📌 0
🚀 #NeurIPS24: Excited to share UniGuide! We've developed a new approach for molecular diffusion models that enables flexible geometric conditioning across tasks—no retraining required.
👉 Come to our poster #2600 (East) today at 11am
📎Paper: t.co/92UJBKn4WZ
13.12.2024 17:51 — 👍 6 🔁 1 💬 1 📌 0
1/7 Planning to build a single-cell atlas? Or wondering how atlases can be useful to your research? Read our guide on single-cell atlases www.nature.com/articles/s41... published in Nature Methods, by @lisasikkema.bsky.social, @khrovatin.bsky.social, Malte Luecken, @fabiantheis.bsky.social et al.
13.12.2024 10:32 — 👍 50 🔁 17 💬 1 📌 3
PhD student at Université de Montréal and Mila
https://mj10.github.io/
@Stanford Professor. AI for science and medicine.
Chief AI Officer @ UHN; Assistant Prof. @ U of Toronto; CIFAR AI Chair @ Vector Institute; AI & Biology
British/German biologist, biotechnologist & science manager. Grant manager @helmholtzai.bsky.social @www.helmholtz-munich.de. Enjoy science, travelling, sport, fine food & ale!
Liesel Beckmann Distinguished Professor of Computer Science at Technical University of Munich and Director of the Institute for Explainable ML at Helmholtz Munich
Large Models, Multimodality, Continual Learning | ELLIS ML PhD with Oriol Vinyals & Zeynep Akata | Previously Google DeepMind, Meta AI, AWS, Vector, MILA
🔗 karroth.com
machine learning researcher @ Apple machine learning research
AIxBio Research Scientist 👩🔬 | PhD Computational Biology 👩💻 | BSc Biomedicine 🧫 | "Singlecellologist" 🦠 into biologically meaningful representation learning 🧬 | Decoding life in London 🇬🇧
AI and tissue clearing-based technologies for health.
Director at Helmholtz Munich, Full professor at LMU Munich, and CEO of Deep Piction (@deeppiction.bsky.social)
We’re🇩🇪🇹🇷🇭🇷🇨🇳🇮🇹🇮🇳🇸🇮🇴🇲🇨🇱🇭🇺🇧🇬🇺🇦🇷🇴🇦🇹🇹🇼🏳🌈
Genomics, Machine Learning, Statistics, Big Data and Football (Soccer, GGMU)
PhD student 🎓 in Statistics at Bielefeld University interested in doubly stochastic processes and their application to ecology 🦅, sports 🏈, and finance 📈.
Website: https://janoleko.github.io
GitHub: https://github.com/janoleko
Software engineer at CZI, https://scverse.org steering council, check out my https://github.com/ivirshup
Principal Researcher at Microsoft Research AI for Science, ML for Drug Discovery, ex Google AI & tensorflight
Senior Researcher @msftresearch.bsky.social #AI for #Science.
Past: PhD @ TUM, internships @ Amazon AWS, Spotify.
Amateur Photographer in my free time.
PhD Student in Computational Biology at TU Munich (Gagneur lab) and Helmholtz Munich (Theis lab)
Interested in rare variants and their effect in Population-scale cohorts
PhD candidate at MIT CSAIL. Generative models, protein design.
Ex: DeepMind, Microsoft, Instagram, Johns Hopkins University.
Website: https://people.csail.mit.edu/jyim/
X: https://x.com/json_yim
Machine Learning for Computational Biology | PhD Student @ TUM, Helmholtz Munich with Fabian Theis, Niki Kilbertus
Designing peptides/proteins to program biology! 🧬💻🧫 Assistant Professor at Duke | Co-Founder of Gameto and UbiquiTx | MIT SB, SM, PhD
Machine Learning and Computational Biology at Helmholtz Munich, UZH, ETH Zurich, and previously at Genentech
Principal Machine Learning Scientist @PrescientDesign @Genentech @Roche | @NYUDataScience PhD | developing AI agents for scientific discovery in biotech
